Subsequently, Mery et al.[1]} also proposed to use a CNN model where additional synthetic defects were introduced to improve model accuracy, either by means of 3D ellipsoidal models or by using Generative Adversarial Networks (GAN) [2]}. By using a sliding-window methodology, they achieved 0.71 mAP.
